Systems AI Engineer at Agentic Universe · Bengaluru (Bangalore) · 3 - 7 years · ₹25L - ₹35L / yr · Raised funding · Posted 28 Oct 2026

Why this role exists
Most systems work at a low scale.
Very few survive real production load, complex workflows, and enterprise edge cases.
We are building a platform that must:
- Scale from 500K → 20M+ interactions/month
- Handle complex insurance workflows reliably
- Become easier to deploy as it grows, not harder
- This role exists to build the backend foundation that makes this possible.
What you’ll do
You will not just write services.
You will design and own core platform systems.
1. Scale the platform without breaking architecture
- Scale from 50K → 4M+ interactions/month
- Ensure:
- High availability
- Low latency
- Fault tolerance
- Avoid large rewrites — build systems that evolve cleanly
2. Build the workflow automation (WA) engine
- Design a flexible system with:
- States
- Stages
- Cohorts
- Dynamic workflows
- Ensure workflows:
- Handle edge cases reliably
- Can be configured easily
- Move from:
- Hardcoded flows → configurable execution engine
3. Build the insurance-specific data layer
- Design data models for:
- Policy states
- Claim workflows
- Consent tracking
- Ensure the system works across:
- Multiple insurers
- Multiple use cases
- Build a platform-first data layer, not use-case-specific hacks
4. Make deployment and setup simple
- Ensure workflows and data models are:
- Easy to configure
- Easy to launch
- Reduce friction for:
- Product teams
- Deployment teams
5. Create a compounding data advantage
- Build a data layer that:
- Improves with every deployment
- Captures structured signals
- Ensure data becomes a long-term edge, not just storage
6. Own production reliability
- Participate in on-call rotation across 3 engineers
- Ensure:
- Incidents are handled quickly
- Root causes are fixed permanently
- Build systems where reliability is shared, not individual
What success looks like
- Platform scales to 2M+ interactions/month smoothly
- Workflow engine supports complex, dynamic use cases
- Data layer enables fast deployment across accounts
- Edge cases are handled without constant firefighting
- System becomes easier to use as it grows
- Production issues are rare and predictable
Who you are
- You have built:
- Scalable systems
- Distributed services
- You think in:
- Systems
- Data models
- Trade-offs
- You are comfortable owning:
- Architecture
- Production systems
What will make you stand out
- Experience building:
- Workflow engines
- State machines
- Data-heavy platforms
- Strong understanding of:
- System design
- Distributed systems
- Failure handling
- Experience working in:
- High-scale production environments
Why join
- You will build the core backend of an AI platform
- Your work directly impacts:
- Scale
- Reliability
- Product capability
- You will design systems that move from:
- Use-case specific → platform-level infrastructure
What this role is not
- Not just API development
- Not limited to feature-level work
- Not disconnected from production realities
What this role is
- A system architect
- A builder of scalable platforms
- A driver of long-term technical advantage
One question to self-evaluate
Can you design backend systems that scale, handle edge cases, and become easier to use as they grow?

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Senior Software Engineer – Backend
Company: House of EdTech (Goenka Kachave LLP)
Location: Bangalore, Hybrid
Job Type: Full-Time
Experience: 5+ Years
About the Role
House of EdTech is looking for a Senior Software Engineer – Backend to design, develop, and scale high-performance backend services and APIs supporting products used by millions of learners.
You’ll work closely with Product, Frontend, Data, and Engineering teams while taking end-to-end ownership of backend features and contributing to system architecture and technical decisions.
What You'll Do
- Design and develop scalable backend services and REST APIs.
- Build reliable systems capable of handling high traffic and large data volumes.
- Own backend features from design and development through deployment and monitoring.
- Work with microservices, databases, and distributed systems.
- Identify and solve performance, scalability, reliability, and security challenges.
- Participate in system design and architecture discussions.
- Conduct code reviews and contribute to engineering best practices.
- Mentor junior and mid-level engineers.
- Monitor production systems and troubleshoot incidents.
What We're Looking For
- 5+ years of professional backend development experience.
- Strong hands-on experience with Java, Python, Scala, C++, or a similar language.
- Experience building and operating large-scale distributed systems.
- Strong understanding of REST APIs, microservices, and databases.
- Experience with cloud/infrastructure technologies such as GCP, Docker, or Kubernetes.
- Strong software engineering fundamentals, including security, reliability, testing, and code quality.
- Experience with system design, architecture, and technical decision-making.
- Strong communication and cross-functional collaboration skills.
- Experience mentoring engineers is a plus.
Why Join House of EdTech?
- Work on products impacting millions of learners.
- Solve challenging backend and scalability problems.
- Take significant ownership of architecture and engineering decisions.
- Opportunity to grow into technical leadership and architectural ownership.
- Work in a fast-growing technology environment.
Job Overview
Architect and build scalable, high-performance backend systems while working on mission-critical platforms that process real-time market data and portfolio analytics. The role also involves leveraging Generative AI capabilities to enhance data intelligence, automation, and user-facing features, while ensuring regulatory compliance and secure financial transactions.
Key Responsibilities
- Design, develop, and maintain scalable backend services and APIs using NodeJS and Python
- Build event-driven architectures using RabbitMQ and Kafka for real-time data processing
- Develop and manage data pipelines integrating PostgreSQL and BigQuery for analytics and warehousing
- Integrate and deploy Generative AI models (LLMs, embeddings, AI APIs) into backend systems for automation, insights, and intelligent workflows
- Design AI-powered features such as recommendation systems, document processing, or conversational interfaces
- Ensure system reliability, security, and low-latency performance for mission-critical systems
- Lead technical design discussions, conduct code reviews, and mentor junior engineers
- Optimize database queries, implement caching strategies, and improve overall system performance
- Collaborate with cross-functional teams to deliver end-to-end product features
- Implement monitoring, logging, and observability solutions
Required Skills and Qualifications
- 2+ years of professional backend development experience
- Strong expertise in NodeJS and Python for production-grade applications
- Proven experience building RESTful APIs and microservices architectures
- Experience working with Generative AI frameworks/APIs (OpenAI, LangChain, vector databases, prompt engineering)
- Understanding of integrating LLMs into production systems (RAG, embeddings, fine-tuning basics)
- Strong proficiency in PostgreSQL, including query optimization and schema design
- Hands-on experience with RabbitMQ and Kafka
- Experience with BigQuery or similar data warehousing solutions
- Solid understanding of distributed systems, scalability patterns, and high-traffic applications
- Strong knowledge of authentication, authorization, and security best practices
- Experience with Git, CI/CD pipelines, and modern development workflows
- Excellent problem-solving and debugging skills
- Exposure to fintech or financial services, cloud platforms (GCP/AWS/Azure), Docker/Kubernetes, caching tools (Redis/Memcached), and regulatory requirements (KYC, compliance, data privacy) is a plus
Apply directly at: https://wohlig.keka.com/careers/jobdetails/136351
Role Overview:
We are seeking a backend-focused Software Engineer with deep expertise in REST APIs,
real-time integrations, and cloud-based application services. The ideal candidate will build
scalable backend systems, integrate real-time data flows, and contribute to system design
and documentation. This is a hands-on role working with global teams in a fast-paced, Agile
environment.
Key Responsibilities:
• Design, develop, and maintain REST APIs and backend services using Python, FastAPI,
and SQLAlchemy.
• Build and support real-time integrations using AWS Lambda, API Gateway, and
EventBridge.
• Develop and maintain Operational Data Stores (ODS) for real-time data access.
• Write performant SQL queries and work with dimensional data models in PostgreSQL.
• Contribute to cloud-based application logic and data orchestration.
• Containerize services using Docker and deploy via CI/CD pipelines.
• Implement automated testing using pytest, pydantic, and related tools.
• Collaborate with cross-functional Agile teams using tools like Jira.
• Document technical workflows, APIs, and system integrations with clarity and
consistency.
• Should have experience in team management
Required Skills & Experience:
• 8+ years of backend or integrations engineering experience.
• Expert-level knowledge of REST API development and real-time system design.
• Strong experience with: Python (FastAPI preferred), SQLAlchemy.
• PostgreSQL and advanced SQL.
• AWS Lambda, API Gateway, EventBridge.
• Operational Data Stores (ODS) and distributed system integration.
• Experience with Docker, Git, CI/CD tools, and automated testing frameworks.
• Experience working in Agile environments and collaborating with cross-functional
teams.
• Comfortable producing and maintaining clear technical documentation.
• Working knowledge of React is acceptable but not a focus.
• Hands-on experience working with Databricks or similar data platforms.
Education & Certifications:
• Bachelor’s degree in Computer Science, Engineering, or a related field (required).
• Master’s degree is a plus.
• Certifications in AWS (e.g., Developer Associate, Solutions Architect) or Python
frameworks are highly preferred.

About the client
The client is building a suite of SaaS products for websites—products with clear product-market fit, strong customer pull, and the potential to become $100M+ businesses.
As they grow, they need engineers who go beyond feature delivery. They are looking for backend developers who want to build enduring systems, make practical decisions, and help us ship great products with high velocity.
What You’ll Do
- Work with product, design, and support teams to turn real customer problems into thoughtful, scalable solutions.
- Design and build robust backend systems, services, and APIs that prioritize long-term maintainability and performance.
- Use AI-assisted tooling (where appropriate) to explore solution trees, accelerate development, and reduce toil.
- Improve velocity across the team by building reusable tools, abstractions, and internal workflows—not just shipping isolated features.
- Dig into problems deeply—whether it's debugging a performance issue, streamlining a process, or questioning a product assumption.
- Document your decisions clearly and communicate trade-offs with both technical and non-technical stakeholders.
What Makes You a Strong Fit
- You’ve built and maintained real-world software systems, ideally at meaningful scale or complexity.
- You think in systems and second-order effects—not just in ticket-by-ticket outputs.
- You prefer well-reasoned defaults over overengineering.
- You take ownership—not just of code, but of the outcomes it enables.
- You work cleanly, write clear code, and make life easier for those who come after you.
- You’re curious about the why, not just the what—and you’re comfortable contributing to product discussions
Bonus if You Have Experience With
- Building tools or workflows that accelerate other developers.
- Working with AI coding tools and integrating them meaningfully into your workflow.
- Building for SaaS products, especially those with large user bases or self-serve motions.
- Working in small, fast-moving product teams with a high bar for ownership.
How’s the team?
- Open and flat hierarchy
- High-agency work with a get-stuff-done attitude
- Teams that focus on creating wins - for the org, the team and yourself - all fuelled by mentorship and empowerment
Our Culture
Some values we’ve lived by over these last 14 years:
We think like inventors.
>Invent the answer you wish existed. If it already exists, ask how it could exist better.<
We build for the love of it. And we build the best.
We don’t just copy and paste. We start from first principles—frame the problem, question the default, ship, improve, repeat—until it’s world-class.
Every version and experiment is a chance to push past our comfort zone and hone our craft. It isn’t easy—it takes patience and persistence—but it ends in work we’re proud of.
Ownership builds a rocket ship.
>It’s not the hours you put in your work that count; it’s the work you put in the hours.<
We’re here to build the business. When we see a problem, we own it end‑to‑end. We pull in the right people, ask for help early, track just enough to finish, and close the loop. We focus on what moves the needle, cut low‑impact work, and push hard when it counts—then recover.
That focus builds subject mastery. It helps get in the flow. It fuels passion and can spark healthy friction—and that’s all part of the game. We make a fuss when it matters, and once a call is made, we commit to it fully—whether we all agree or disagree.
Step up to stand tall.
>Greatness is a moving target.<
Chase excellence in your craft and take on bigger problems. Grow into a full-stack problem-solver and leader—whatever your domain. Improve with intent, work with people who push you, and never get too comfortable. That’s how we level up.
Benefits
- Relocation benefits - we’ll book your domestic travel if you are not in Bangalore and help you with 2 weeks of accommodation
- Homemade lunch at the office and a pantry with snacks, fresh coffee & tea
- All the IT essentials and tools you’ll need to be successful in your role, everyone at the office gets an external monitor, ergonomic seating and a mechanical keyboard
- Frequent outings, company-sponsored outdoor events, celebrations for milestones, trips for the entire team and sponsorships to participate at international company events at exotic destinations
- Profit-sharing bonuses based on company growth, tenure and performance
- Paid time off - maternity, paternity, and marriage leave
- Insurance for the whole family
Responsibilities
● Architect and build end-to-end backend services and APIs.
● Integrate with external systems such as insurers, payment gateways, and other
partners.
● Ensure high observability, performance, and reliability across systems.
● Write clean, reusable, and maintainable code with a focus on scalability.
● Implement comprehensive test coverage and maintain code quality.
● Manage database design, migrations, scripting, and administration.
Experience & Skills
● 2-8 years of experience in backend development.
● Hands-on experience with low-level & high-level system design.
● Proven experience building scalable, secure backend systems (APIs, middleware, caching).
● Proficiency in Python, Django, Django REST Framework (DRF), PostgreSQL, Redis,
Celery, and basic HTML/CSS.
● Experience developing RESTful APIs.
● Familiarity with AWS or other major cloud platforms is a plus.
● Strong sense of ownership, problem-solving ability, and leadership qualities.
About VerbaFlo.ai
VerbaFlo.ai is a fast-growing AI SaaS startup revolutionizing how businesses leverage AI-powered solutions. As a part of our dynamic team, you’ll work alongside industry leaders and visionaries to drive innovation and execution across multiple functions.
Role Overview
We are looking for a Senior Backend Engineer to design and develop user-friendly, scalable, and high-performance web applications. This role requires deep expertise in backend technologies, attention to detail, and the ability to collaborate with cross-functional teams.
Responsibilities
- Design, develop, and maintain scalable backend systems, APIs, and data pipelines.
- Collaborate closely with frontend engineers, product managers, and AI teams to deliver cohesive features and seamless user experiences.
- Ensure the reliability, security, and performance of backend systems.
- Write clean, maintainable, and efficient code using modern backend practices.
- Implement automated testing, CI/CD workflows, and infrastructure as code (where applicable).
- Own the end-to-end lifecycle of backend features, from architecture to deployment.
- Monitor production systems and resolve performance and scalability issues.
- Contribute to architectural decisions and help evolve our engineering best practices.
Requirements
- 4–6 years of experience in backend development in startups, preferably in SaaS or AI-driven products.
- Proficiency in Node.js, Python, or Go
- Deep understanding of RESTful API design.
- Strong experience with databases: PostgreSQL, MongoDB, ElasticSearch.
- Exposure to message queues, job schedulers, or event-driven architectures (e.g., SQS, Celery, etc).
- Familiarity with cloud platforms like AWS, GCP, or Azure and containerization tools (Docker, Kubernetes).
- Experience with Git, CI/CD tools, and writing unit/integration tests.
- Strong problem-solving skills and a mindset geared toward performance and security.
- Excellent communication and collaboration abilities.
Why Join Us?
- Work directly with top leadership in a high-impact role.
- Be part of an innovative and fast-growing AI startup.
- Opportunity to take ownership of key projects and drive efficiency.
- A collaborative, ambitious, and fast-paced work environment.
- Perks & Benefits: gym membership benefit, workation policy, and company-sponsored lunch.
If you’re looking for an exciting role that combines strategy, execution, and leadership exposure, we’d love to hear from you!
About Orenda
Orenda is a fintech-enabled financial services company founded in 2017 and based in Ahmedabad, Gujarat. We work as a corporate DSA and channel partner for leading banks and NBFCs, helping individuals, professionals, and MSMEs access suitable financial solutions across business loans, personal loans, home loans, loan against property, and professional loans.
At Orenda, we combine financial expertise, technology, and streamlined processes to simplify the lending journey. We are building our own lending-tech platform to improve operational efficiency, strengthen lender and partner integrations, and develop technology-driven solutions that support our evolving business needs.
About the role
We're looking for a Lead Software Engineer who enjoys building as much as designing. You'll shape how our systems are architected, write a good share of the code yourself, and lead a team of 3 to 5 engineers, including AI/ML engineers.
This is a hands-on leadership role, not a pure management or architecture position. Your time will be roughly split like this:
Share of time
Leading the team ~30%
Solution design ~30%
Hands-on coding ~30%
Deployment and infrastructure~10%
What you'll work on
Solution design and architecture
• Turning business needs into technical designs that are practical to build and easy to maintain
• Making architecture decisions across services, integrations and data flows
• Estimating, scoping and planning new features with business and product stakeholders
• Shaping the solution design for AI/ML use cases alongside the AI/ML engineers
Engineering and delivery
• Writing production code in Python and Node.js
• Rolling out new features across our internal and partner-facing platforms, including our CRM and partner portal
• Continuously improving existing systems for performance, reliability and code quality
• Reviewing code and setting engineering standards for the team
Infrastructure and cloud
• Maintaining and upgrading our infrastructure, including a planned move to a major cloud platform
• Owning deployments and production stability together with the team
• Working with event-driven and messaging systems (NATS today, Kafka planned)
Team leadership
• Leading and mentoring a team of 3 to 5 engineers
• Planning and prioritising work, unblocking the team, and making sure things ship
• Building a culture of ownership, clear documentation and quality
What we're looking for
• 5 to 8 years of software engineering experience, with hands-on coding in your recent roles
• Strong command of Python and Node.js
• Proven experience designing and building backend systems and microservices that run in production
• Hands-on experience deploying and running workloads on at least one major cloud platform (AWS, Azure or GCP)
• Solid working knowledge of PostgreSQL
• Experience with messaging or event streaming systems such as NATS, Kafka or RabbitMQ
• Experience leading or mentoring a small engineering team
• Comfort estimating effort, breaking down features and planning delivery
• Enough understanding of AI/ML systems to guide their solution design and integration
• Clear communication with both technical and non-technical stakeholders
Good to have
• Experience working at a fintech, lending or financial services company
• Hands-on experience with Kafka
• Experience leading an infrastructure upgrade or cloud migration
• Experience building or scaling CRM or partner-facing portal products
Why Join Us?
- Build a growing lending-tech platform: Play a key role in shaping the technology behind a growing financial services business.
- Own technical decisions: Contribute directly to architecture, engineering standards, and technology direction.
- Stay hands-on: Combine solution design and technical leadership with meaningful coding responsibilities.
- Work with emerging technologies: Collaborate with AI/ML engineers and contribute to evolving platform capabilities.
- Lead and grow a team: Mentor engineers and help build a strong engineering culture as the technology function scales.
- Make a measurable impact: Build systems that improve operational efficiency and support business growth.

Required Experience: 10–15 years (with at least 3–5 years in leadership roles)
● 10–15 years of overall experience in backend engineering, with strong exposure to
Python and/or Golang.
● 3–5 years of experience managing engineering teams.
● Proven experience delivering large-scale, distributed systems in production
environments.
● Strong understanding of microservices, cloud-native architecture, and DevOps
practices.
● Hands-on background in backend engineering (able to guide teams technically, even
if not coding daily).
● Familiarity with CI/CD pipelines, observability, and performance optimization.
● Experience in financial services or high-transaction domains is a plus.
● Experience leading teams that have utilized AI-driven development practices (e.g.,
agentic coding, LLM integration) to improve productivity and innovation is a
significant advantage.
Skills
● Excellent leadership and people management abilities.
● Strong communication and stakeholder management skills.
● Ability to balance technical depth with business priorities.
● Problem-solving mindset with a focus on delivery and impact.
● Passion for building engineering culture and improving developer experience.
Backend Developers
- Contract To Hire (Initial Engagement: 6 months)
Experience: 5+ years
Mandatory Skills:
● Node.js
● Python
● MongoDB
● PostgreSQL
● REST API design and development
● Backend architecture and service design
● Database design, indexing and query optimisation
● Performance tuning
● Authentication/authorisation
● Third-party integrations
● Asynchronous processing and background jobs
● Logging, monitoring and debugging
● Git and collaborative development
● Scalable, maintainable and testable backend services
● Architecture discussions, code reviews, debugging and production support
Good to have:
● Microservices
● Docker
● Cloud platforms
● Redis
● Message queues
● CI/CD
● Observability
About the Role
We are hiring Staff / Principal Engineers to take full, hands-on ownership of Blitzy's most critical production-grade systems and to deliver high-leverage features that materially improve customer outcomes and engineering velocity. This is the most senior individual contributor role at the company today.
This is not a Senior-plus role, an architecture-only role, or a promotion-track role. We are looking for someone who has already operated at Principal / Staff+ scope in a highly technical environment and expects to spend their time writing, reviewing, and shipping production code.
This role is 100% hands-on. Leverage comes from system ownership, execution quality, and durable technical decisions — not people management or process.
Responsibilities
- Own mission-critical production systems end-to-end, ensuring correctness, scalability, performance, reliability, and operational excellence.
- Design, build, and ship high-impact backend systems and features that improve product reliability, performance, and customer value.
- Architect scalable services and cloud infrastructure using technologies such as Python, REST, gRPC, Kubernetes, and Terraform.
- Identify and resolve complex technical bottlenecks that limit engineering quality, system performance, or organizational velocity.
- Build and operate LLM-powered systems and validation loops that evaluate correctness, consistency, durability, and production performance.
- Design and evolve data architectures incorporating relational, NoSQL, graph, and vector databases to support complex enterprise applications and semantic retrieval.
- Modernize and improve complex enterprise systems while balancing reliability, maintainability, scalability, and delivery speed.
- Set and uphold engineering quality standards through hands-on technical leadership, sound technical judgment, and ownership of long-term technical decisions.
Qualifications
- Direct experience with Python as a primary programming language, backend frameworks, and microservices architectures.
- Expertise in REST and gRPC, with proficiency in Node.js and JavaScript.
- Proficiency in GCP, along with experience using at least one additional cloud platform such as AWS or Azure.
- Advanced knowledge of Kubernetes and Terraform in production environments.
- Experience operating highly available production systems, including monitoring, scalability, reliability, performance optimization, and operational tooling.
- Strong knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, MongoDB, Cassandra, or DynamoDB.
- Familiarity with graph databases such as Neo4j and vector databases or embedding infrastructure for semantic search and retrieval.
- Hands-on experience building and operating LLM-powered systems in production, including evaluation, validation, regression testing, tracing, and failure analysis.
- Working knowledge of LangSmith or comparable LLM observability and evaluation tools; familiarity with OpenAI, Anthropic, or similar model providers is a plus.
- Ability to contribute across the full stack, with a strong understanding of frontend architecture and the ability to debug, design, and ship across frontend, backend, infrastructure, and AI systems.
- Understanding of large-scale enterprise software systems, including architecture, integration, deployment, modernization, and long-term maintainability.
- Proven track record of operating at Staff+, Principal Engineer, or equivalent level, independently driving complex technical initiatives and delivering high-impact outcomes with minimal supervision.
Blitzy is a Cambridge, MA based AI software development platform on a mission to revolutionize the software development life cycle by autonomously building custom software to unlock the next industrial revolution. We're transforming how enterprises build software, turning enterprise requirements into enterprise grade code with an agentic software development platform that can autonomously execute 80% of the quantum of software development work. We're backed by multiple tier 1 investors, and have proven success as founders of previous start-ups.
Our Culture
Who we are:
Led by two pioneering co-founders we are one of the fastest growing companies in the U.S., creating our own category of enterprise autonomous software development. We automate thousands of hours of software development for our customers, which includes strong representation within the Fortune 500.
How we work:
- We move Blitzy Fast: Time is both our company’s and our clients’ most precious asset. We move quickly and decisively to innovate internally and deliver exceptional software externally.
- Championship Mindset: We operate like a professional sports team. We win as a team by holding ourselves and each other to high standards, collaborating in-person, and remaining focused on the mission.
- Passion for Invention: We’re pushing the frontier of what’s possible, requiring constant innovation and iteration.
- We Work for the Customer: We focus on delivering outsized value to the customers we work with and expanding those relationships into deep, meaningful partnerships.
- We believe in being ‘everyday athletes’: taking care of ourselves so we can bring our best minds to work. We promote great sleep, movement, and restorative activities for
Blitzy is an equal opportunity employer committed to building a diverse and inclusive team. We believe different perspectives make us stronger.










